MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification
Author:
Affiliation:
1. Wuhan University,Institute of Artificial Intelligence, School of Computer Science,Wuhan,China
2. Landing Artificial Intelligence Centre for Pathological Diagnosis,Wuhan,China
Funder
Zhongnan Hospital of Wuhan University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385911.pdf?arnumber=10385911
Reference16 articles.
1. A fully-automated deep learning pipeline for cervical cancer classification
2. Generative adversarial network based data augmentation to improve cervical cell classification model
3. A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network
4. Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells
5. Computer-aided diagnosis of auto-immune disease using capsule neural network
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1. Interpretable detector for cervical cytology using self-attention and cell origin group guidance;Engineering Applications of Artificial Intelligence;2024-08
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